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	Recent Advances and Techniques for Identifying Novel Antibacterial Targets
	Nazli, Adila1; Qiu, Jingyi2; Tang, Ziyi2; He, Yun1
	2024
摘要	Background With the emergence of drug-resistant bacteria, the development of new antibiotics is urgently required. Target-based drug discovery is the most frequently employed approach for the drug development process. However, traditional drug target identification techniques are costly and time-consuming. As research continues, innovative approaches for antibacterial target identification have been developed which enabled us to discover drug targets more easily and quickly.Methods In this review, methods for finding drug targets from omics databases have been discussed in detail including principles, procedures, advantages, and potential limitations. The role of phage-driven and bacterial cytological profiling approaches is also discussed. Moreover, current article demonstrates the advancements being made in the establishment of computational tools, machine learning algorithms, and databases for antibacterial target identification.Results Bacterial drug targets successfully identified by employing these aforementioned techniques are described as well.Conclusion The goal of this review is to attract the interest of synthetic chemists, biologists, and computational researchers to discuss and improve these methods for easier and quicker development of new drugs.
关键词	Antibacterial omics machine learning bioinformatics drug target bacterial cytological profiling
DOI	10.2174/0929867330666230123143458
发表期刊	CURRENT MEDICINAL CHEMISTRY
ISSN	0929-8673
卷号	31期号:4页码:464-501
通讯作者	Tang, Ziyi(yun.he@cqu.edu.cn) ; He, Yun(tangziyi@cigit.ac.cn)
收录类别	SCI
WOS记录号	WOS:001071634300005
语种	英语